DocumentCode :
350257
Title :
Super-resolution image estimation for transform coded video with application to MPEG
Author :
Patti, Andrew J. ; Altunbasak, Yucel
Author_Institution :
Liberate Technol., Redwood Shores, CA, USA
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
179
Abstract :
To date, there exist a number of worthy methods for creating a high quality still image from a video source. The best of these methods involve motion compensating a number of video frames to produce the desired still. These motion compensated methods are formulated in the space-domain. More and more, however, the video source is only available in compressed format such as MPEG, H.263 or DV. In this case there is important compressed domain information that is not utilized by the formulation. Most notably, the quantization information from the bitstream is not correctly taken into account. We propose a motion-compensated, transform domain formulation for creating high quality video stills that directly incorporates transform domain quantization information. We apply this new formulation to MPEG compressed video and demonstrate its effectiveness compared to a reasonable space-domain approach
Keywords :
motion estimation; vector quantisation; video coding; H.263; MPEG; bitstream; high quality still image; high quality video stills; motion compensated methods; quantization information; space-domain approach; super-resolution image estimation; transform coded video; transform domain formulation; transform domain quantization information; video source; Bridges; Decoding; Image coding; Image resolution; Modems; Quantization; Spatial resolution; Strontium; Transform coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.817095
Filename :
817095
Link To Document :
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